Combining various data sources and other types of information is becoming increasingly important in various types of analyses. Certain classes of Bayesian hierarchical models have shown to be ...

Geographical Information Systems (GIS) are computer systems designed to collect, manage, edit, analyze and present spatial information. This course introduces the basic concepts and methods in mapping ...

Sustainable development is the red thread throughout this course. The course builds on the principle of sustainable development and analyses how it is reflected in main international treaties on the ...

This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...

The core of the subject is a major programming task to be solved in small groups.Through the assignment, you will get practical training in programming and gain experience with how object-oriented ...

This course provides a general introduction to American literature, where the main focus is on the nineteenth and the twentieth century. Primary attention will be given to how literary texts are ...

The course covers a range of models that are among the most widely used tools in macroeconomic thinking. It is meant as an introduction to macro theory at the masters’ level and provides a useful ...

In order to explore some of today`s most pressing social issues, we will systematically read and discuss some contemporary thinkers, whose philosophical texts examine key themes raised by these issues ...

This course gives an introduction to numerical methods for solving problems in physics and chemistry, i.e. methods for solving ordinary and partial differential equations, matrix operations and ...

Here you will find a guide for the expert committee for hiring and promotion in professor and associate professor positions, which supplements Rules for employment and promotion for teaching- and ...

The course introduces a variety of central algorithms and methods essential for studies of statistical data analysis and machine learning. The course is project-based and through the various projects, ...

Gynaecology and Obstetrics, Paediatrics, Child Psychiatry, Pharmacology, Pathology, Clinical Biochemistry, Medical Genetics, Medical Ethics, Behavioural Sciences, Public Health, and General Practice.